Strategies for supplementing recurrent neural network training for spatio-temporal prediction. - Mark Schutera; Stefan Elser; Jochen Abhau; Ralf Mikut; Markus Reischl (Autom., 2019)

Evaluation of four point cloud similarity measures for the use in autonomous driving. - Felix Berens; Stefan Elser; Markus Reischl (Autom., 2021)

RWU3D: Real World ToF and Stereo Dataset with High Quality Ground Truth. - Ankita Agrawal; Tobias Müller; Tobias Schmähling; Stefan Elser; Jörg Eberhardt (IPTA, 2023)

Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. - Luca Rettenberger; Marcel P. Schilling; Stefan Elser; Moritz Böhland; Markus Reischl (IEEE Trans. Biomed. Eng., 2023)

Deep Learning for Generating Time-of-Flight Camera Artifacts. - Tobias Müller; Tobias Schmähling; Stefan Elser; Jörg Eberhardt (J. Imaging, 2024)

Simultaneous Stereo Matching and Confidence Estimation Network. - Tobias Schmähling; Tobias Müller; Jörg Eberhardt; Stefan Elser (J. Imaging, 2024)

A novel metric for 6D pose estimation: Addressing errors and false detections for more reliable evaluation. - Tobias Niedermaier; Felix Berens; Markus Reischl; Stefan Elser (Autom., 2025)